(Enter summary)
Abstract: Businesses today need to interrelate data stored in diverse systems
with differing capabilities, ideally via a single high-level query
interface. We present the design of a query optimizer for Gar-
lic [C+95], a middleware system designed to integrate data from a
broad range of data sources with very different query capabilities.
Garlic's optimizer extends the rule-based approach of [Loh88 ] to
work in a heterogeneous environment, by defining generic rules for
the middleware and using... (Update)
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BibTeX entry: (Update)
L. Haas, D. Kossman, E. Wimmers, and J. Yang. Optimizing Queries across Diverse Data Sources. In Proc. VLDB Conference, 1997. http://citeseer.ist.psu.edu/haas97optimizing.html More
@inproceedings{ haas97optimizing,
author = "Laura M. Haas and Donald Kossmann and Edward L. Wimmers and Jun Yang",
title = "Optimizing Queries Across Diverse Data Sources",
booktitle = "Proceedings of the Twenty-third International Conference on Very Large Databases",
publisher = "VLDB Endowment, Saratoga, Calif.",
address = "Athens, Greece",
pages = "276--285",
year = "1997",
url = "citeseer.ist.psu.edu/haas97optimizing.html" }
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